Introduction to probability

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Hauptverfasser: Bertsekas, Dimitri P. 1942- (VerfasserIn), Tsitsiklis, John N. 1958- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Belmont, Mass. Athena Scientific 2008
Ausgabe:2. ed., 2. print.
Schriftenreihe:Optimization and computation series 1
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Datensatz im Suchindex

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adam_text Contents 1. Sample Space and Probability .............. p. 1 1-1. Sets ............................. p. 3 1.2. Probabilistic Models ...................... p. 6 1.3. Conditional Probability ................... p. 18 1.4. Total Probability Theorem and Bayes Rule .......... p. 28 1.5. Independence ........................ p. 34 1.6. Counting ......................... p. 44 1.7. Summary and Discussion .................. p. 51 Problems .......................... p. 53 2. Discrete Random Variables .............. p. 71 2.1. Basic Concepts ....................... p. 72 2.2. Probability Mass Functions ................. p. 74 2.3. Functions of Random Variables ................ p. 80 2.4. Expectation, Mean, and Variance ............... p. 81 2.5. Joint PMFs of Multiple Random Variables ........... p. 92 2.6. Conditioning ........................ p. 97 2.7. Independence ........................ p. Ю9 2.8. Summary and Discussion .................. p. Ц5 Problems .......................... p. 119 3. General Random Variables .............. p. 139 3.1. Continuous Random Variables and PDFs ........... p. 140 3.2. Cumulative Distribution Functions .............. p. 148 3.3. Normal Random Variables .................. p. 153 3.4. Joint PDFs of Multiple Random Variables ........... p. 158 3.5. Conditioning ....................... p. 164 3.6. The Continuous Bayes Rule ................. p. 178 ix x Contents 3.7. Summary and Discussion .................. p. 182 Problems .......................... p. 184 4. Further Topics on Random Variables .......... p: 201 4.1. Derived Distributions .................... p. 202 4.2. Covariance and Correlation ................. p. 217 4.3. Conditional Expectation and Variance Revisited ........ p. 222 4.4. Transforms ........................ p. 229 4.5. Sum of a Random Number of Independent Random Variables . . p. 240 4.6. Summary and Discussion .................. p. 244 Problems .......................... p. 246 5. Limit Theorems .................... p. 263 5.1. Markov and Chebyshev Inequalities .............. p. 265 5.2. The Weak Law of Large Numbers ............... p. 269 5.3. Convergence in Probability .................. p. 271 5.4. The Central Limit Theorem ................. p. 273 5.5. The Strong Law of Large Numbers .............. p. 280 5.6. Summary and Discussion .................. p. 282 Problems .......................... p. 284 6. The Bernoulli and Poisson Processes ........... p. 295 6.1. The Bernoulli Process .................... p. 297 6.2. The Poisson Process .................... p. 309 6.3. Summary and Discussion .................. p. 324 Problems .......................... p. 326 7. Markov Chains .................... p. 339 7.1. Discrete-Time Markov Chains ................ p. 340 7.2. Classification of States .................... p. 346 7.3. Steady-State Behavior .................... p. 352 7.4. Absorption Probabilities and Expected Time to Absorption ... p. 362 7.5. Continuous-Time Markov Chains ............... p. 369 7.6. Summary and Discussion .................. p. 378 Problems .......................... p. 380 8. Bayesian Statistical Inference .............. p. 407 8.1. Bayesian Inference and the Posterior Distribution ....... p. 412 8.2. Point Estimation, Hypothesis Testing, and the MAP Rule .... p. 420 8.3. Bayesian Least Mean Squares Estimation ........... p. 430 8.4. Bayesian Linear Least Mean Squares Estimation ........ p. 437 Contents xi 8.5. Summary and Discussion .................. p. 444 Problems .......................... p. 446 Classical Statistical Inference .............. p. 459 9.1. Classical Parameter Estimation ................ p. 462 9.2. Linear Regression ...................... p. 477 9.3. Binary Hypothesis Testing .................. p. 486 9.4. Significance Testing ..................... p. 496 9.5. Summary and Discussion .................. p. 505 Problems .......................... p. 507 Index ........................ p. 521
any_adam_object 1
author Bertsekas, Dimitri P. 1942-
Tsitsiklis, John N. 1958-
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Tsitsiklis, John N. 1958-
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edition 2. ed., 2. print.
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series Optimization and computation series
series2 Optimization and computation series
spellingShingle Bertsekas, Dimitri P. 1942-
Tsitsiklis, John N. 1958-
Introduction to probability
Optimization and computation series
Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd
subject_GND (DE-588)4079013-7
title Introduction to probability
title_auth Introduction to probability
title_exact_search Introduction to probability
title_full Introduction to probability Dimitri P. Bertsekas and John N. Tsitsiklis
title_fullStr Introduction to probability Dimitri P. Bertsekas and John N. Tsitsiklis
title_full_unstemmed Introduction to probability Dimitri P. Bertsekas and John N. Tsitsiklis
title_short Introduction to probability
title_sort introduction to probability
topic Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd
topic_facet Wahrscheinlichkeitstheorie
url http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020871658&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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